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06/28/2023
Representation Learning via Variational Bayesian Networks
We present Variational Bayesian Network (VBN) - a novel Bayesian entity ...
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05/24/2023
Revisiting Sentence Union Generation as a Testbed for Text Consolidation
Tasks involving text generation based on multiple input texts, such as m...
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05/24/2023
Peek Across: Improving Multi-Document Modeling via Cross-Document Question-Answering
The integration of multi-document pre-training objectives into language ...
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05/17/2023
Stop Uploading Test Data in Plain Text: Practical Strategies for Mitigating Data Contamination by Evaluation Benchmarks
Data contamination has become especially prevalent and challenging with ...
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10/23/2022
Cross-document Event Coreference Search: Task, Dataset and Modeling
The task of Cross-document Coreference Resolution has been traditionally...
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08/13/2022
Interpreting BERT-based Text Similarity via Activation and Saliency Maps
Recently, there has been growing interest in the ability of Transformer-...
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08/13/2022
MetricBERT: Text Representation Learning via Self-Supervised Triplet Training
We present MetricBERT, a BERT-based model that learns to embed text unde...
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05/23/2022
QASem Parsing: Text-to-text Modeling of QA-based Semantics
Several recent works have suggested to represent semantic relations with...
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04/26/2022
LM-Debugger: An Interactive Tool for Inspection and Intervention in Transformer-Based Language Models
The opaque nature and unexplained behavior of transformer-based language...
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04/23/2022
Grad-SAM: Explaining Transformers via Gradient Self-Attention Maps
Transformer-based language models significantly advanced the state-of-th...
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03/28/2022
Transformer Feed-Forward Layers Build Predictions by Promoting Concepts in the Vocabulary Space
Transformer-based language models (LMs) are at the core of modern NLP, b...
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12/16/2021
Utilizing Evidence Spans via Sequence-Level Contrastive Learning for Long-Context Question Answering
Long-range transformer models have achieved encouraging results on long-...
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12/16/2021
A Proposition-Level Clustering Approach for Multi-Document Summarization
Text clustering methods were traditionally incorporated into multi-docum...
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12/12/2021
Cold Item Integration in Deep Hybrid Recommenders via Tunable Stochastic Gates
A major challenge in collaborative filtering methods is how to produce r...
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09/23/2021
iFacetSum: Coreference-based Interactive Faceted Summarization for Multi-Document Exploration
We introduce iFacetSum, a web application for exploring topical document...
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09/02/2021
GAM: Explainable Visual Similarity and Classification via Gradient Activation Maps
We present Gradient Activation Maps (GAM) - a machinery for explaining p...
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06/05/2021
Denoising Word Embeddings by Averaging in a Shared Space
We introduce a new approach for smoothing and improving the quality of w...
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06/02/2021
Self-Supervised Document Similarity Ranking via Contextualized Language Models and Hierarchical Inference
We present a novel model for the problem of ranking a collection of docu...
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01/23/2021
On the Evolution of Word Order
Most natural languages have a predominant or fixed word order. For examp...
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01/02/2021
Cross-Document Language Modeling
We introduce a new pretraining approach for language models that are gea...
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09/26/2020
Explainable Recommendations via Attentive Multi-Persona Collaborative Filtering
Two main challenges in recommender systems are modeling users with heter...
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09/25/2020
RecoBERT: A Catalog Language Model for Text-Based Recommendations
Language models that utilize extensive self-supervised pre-training from...
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04/30/2020
Paraphrasing vs Coreferring: Two Sides of the Same Coin
We study the potential synergy between two different NLP tasks, both con...
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04/12/2020
Bayesian Hierarchical Words Representation Learning
This paper presents the Bayesian Hierarchical Words Representation (BHWR...
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02/15/2020
Attentive Item2Vec: Neural Attentive User Representations
Factorization methods for recommender systems tend to represent users as...
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02/06/2020
perm2vec: Graph Permutation Selection for Decoding of Error Correction Codes using Self-Attention
Error correction codes are integral part of communication applications, ...
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08/14/2019
Scalable Attentive Sentence-Pair Modeling via Distilled Sentence Embedding
Attention based models have become the new state-of-the-art in natural l...
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05/21/2019
Unsupervised Linear and Nonlinear Channel Equalization and Decoding using Variational Autoencoders
A new approach for blind channel equalization and decoding, using variat...
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03/05/2018
Blind Channel Equalization using Variational Autoencoders
A new maximum likelihood estimation approach for blind channel equalizat...
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10/28/2017
